{"id":"W2132903303","doi":"10.3389/fgene.2015.00097","title":"Genomic prediction of traits related to canine hip dysplasia","year":2015,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Genetic and phenotypic traits in livestock","field":"Biochemistry, Genetics and Molecular Biology","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Environment Research Council; Biotechnology and Biological Sciences Research Council; Medical Research Council; Scotland’s Rural College; University of Edinburgh; Sight Research UK","keywords":"Heritability; Genomic selection; Selection (genetic algorithm); Biology; Best linear unbiased prediction; Genetics; Population; Single-nucleotide polymorphism; Genotype; Medicine; Gene; Computer science; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009140304,0.0002792546,0.0002849637,0.0008635313,0.0001173524,0.0003827288,0.0001816687,0.0003292603,0.001022234],"category_scores_gemma":[0.002377778,0.0001421322,0.0003053035,0.0007226077,0.0001530424,0.0001153604,0.0002429095,0.0002927712,0.0002882459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001810396,"about_ca_system_score_gemma":0.0001997609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003636827,"about_ca_topic_score_gemma":0.005507401,"domain_scores_codex":[0.9995782,0.0001750343,0.00002224828,0.0001224146,0.00006640247,0.00003568475],"domain_scores_gemma":[0.9985535,0.0008998695,0.0002844795,0.00008007869,0.0001229248,0.00005913987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000641075,0.00008133404,0.8994741,0.0001063547,0.0003220977,0.0002475492,0.0001740101,0.007290045,0.03495635,0.0002341794,0.0005993831,0.05587345],"study_design_scores_gemma":[0.00001344409,0.0001082128,0.9836965,0.00001261941,0.00008073512,0.0002463916,0.00005384436,0.01303857,0.0021748,0.0001605395,0.0004058497,0.00000846978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929912,0.0002841389,0.005415726,0.00004309764,0.000005028144,0.0000100059,0.0007106068,0.00006945145,0.0004708087],"genre_scores_gemma":[0.9920135,0.0001209895,0.006090726,0.00002992607,0.000007880158,0.00001144285,0.001313104,0.00001544463,0.0003968203],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003636827,"threshold_uncertainty_score":0.007231355,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131650800777282,"score_gpt":0.2192548494349482,"score_spread":0.2079383414271754,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}